jutuldarcyrules.jl

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

https://github.com/slimgroup/jutuldarcyrules.jl

Science Score: 62.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 17 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Academic email domains
  • Institutional organization owner
    Organization slimgroup has institutional domain (slim.gatech.edu)
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.1%) to scientific vocabulary

Keywords

auto-differentiation fluid-flow julia numerical-solver scalable two-phase-flow
Last synced: 6 months ago · JSON representation ·

Repository

JutulDarcyRules: ChainRules extension to Jutul and JutulDarcy

Basic Info
Statistics
  • Stars: 11
  • Watchers: 4
  • Forks: 4
  • Open Issues: 7
  • Releases: 13
Topics
auto-differentiation fluid-flow julia numerical-solver scalable two-phase-flow
Created about 3 years ago · Last pushed 12 months ago
Metadata Files
Readme License Citation

README.md

JutulDarcyRules: auto-differentiable multiphase flow solvers based on JutulDarcy with ChainRules integration

Interoperate Jutul.jl and JutulDarcy.jl to other Julia packages via ChainRules.jl. We welcome you to read the open-access article, "Learned multiphysics inversion with differentiable programming and machine learning", for the design principle of this software package.

LICENSE

The software used in this repository can be modified and redistributed according to MIT license.

Papers

The following publications use JutulDarcyRules.jl:

  • "Time-lapse full-waveform permeability inversion: A feasibility study", doi: 10.1190/tle43080544.1

  • "A Digital Twin for Geological Carbon Storage with Controlled Injectivity", doi: 10.48550/arXiv.2403.19819

  • BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows – a case study in optimal monitor well placement for CO2 sequestration, doi: 10.48550/arXiv.2404.00075

  • "Inference of CO2 flow patterns -- a feasibility study", doi: 10.48550/arXiv.2311.00290

  • "Solving multiphysics-based inverse problems with learned surrogates and constraints", doi: 10.1186/s40323-023-00252-0

  • "Learned multiphysics inversion with differentiable programming and machine learning", doi: 10.1190/tle42070474.1

Reference

If you use our software for your research, we appreciate it if you cite us following the bibtex in CITATION.bib.

Authors

This package is developed by the researchers at the Seismic Laboratory for Imaging and Modeling (SLIM) at the Georgia Institute of Technology.

If you have any question, we welcome your contributions to our software by opening issue or pull request.

SLIM Group @ Georgia Institute of Technology, https://slim.gatech.edu.
SLIM public GitHub account, https://github.com/slimgroup.

Owner

  • Name: SLIM GROUP
  • Login: slimgroup
  • Kind: organization
  • Email: Felix.herrmann@gatech.edu
  • Location: Georgia Institute of Technology, USA

Repositories for software by SLIM group

Citation (CITATION.bib)

@software{JutulDarcyRules,
  author       = {Ziyi Yin and
                  Grant Bruer and
                  Mathias Louboutin},
  title        = {slimgroup/JutulDarcyRules.jl: v0.2.8},
  month        = {05},
  year         = {2024},
  publisher    = {Zenodo},
  version      = {v0.2.8},
  doi          = {10.5281/zenodo.11228539},
  url          = {https://doi.org/10.5281/zenodo.11228539}
}

@article{louboutin2023,
	title = {Learned multiphysics inversion with differentiable programming and machine learning},
	author = {Louboutin, Mathias and Yin, Ziyi and Orozco, Rafael and Grady, Thomas J. and Siahkoohi, Ali and Rizzuti, Gabrio and Witte, Philipp A. and {Møyner}, Olav and Gorman, Gerard J. and Herrmann, Felix J.},
	year = {2023},
	month = {07},
	date = {2023-07},
	journal = {The Leading Edge},
	pages = {474--486},
	volume = {42},
	number = {7},
	doi = {10.1190/tle42070474.1},
	url = {http://dx.doi.org/10.1190/tle42070474.1},
	langid = {en}
}

GitHub Events

Total
  • Pull request review event: 4
  • Pull request review comment event: 6
  • Pull request event: 2
  • Fork event: 1
Last Year
  • Pull request review event: 4
  • Pull request review comment event: 6
  • Pull request event: 2
  • Fork event: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 6
  • Total pull requests: 31
  • Average time to close issues: 6 days
  • Average time to close pull requests: 20 days
  • Total issue authors: 5
  • Total pull request authors: 5
  • Average comments per issue: 4.33
  • Average comments per pull request: 0.35
  • Merged pull requests: 17
  • Bot issues: 0
  • Bot pull requests: 7
Past Year
  • Issues: 3
  • Pull requests: 3
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 2
  • Pull request authors: 2
  • Average comments per issue: 2.33
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • gbruer15 (2)
  • haoyunl2 (1)
  • ziyiyin97 (1)
  • zhen0z (1)
  • JuliaTagBot (1)
Pull Request Authors
  • ziyiyin97 (20)
  • github-actions[bot] (8)
  • gbruer15 (5)
  • shiqinzeng (2)
  • zhen0z (2)
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Dependencies

.github/workflows/ci-runtest.yml actions
  • actions/checkout v2 composite
  • julia-actions/julia-buildpkg latest composite
  • julia-actions/julia-runtest latest composite
  • julia-actions/setup-julia v1 composite
.github/workflows/CompatHelper.yml actions
.github/workflows/TagBot.yml actions
  • JuliaRegistries/TagBot v1 composite